Triple
T774690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Divers |
E16361
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Have One on Me |
E25818
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Have One on Me | Statement: [Divers, follows, Have One on Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Have One on Me Context triple: [Divers, follows, Have One on Me]
-
A.
Have One on Me
chosen
Have One on Me is an expansive, critically acclaimed 2010 triple album by American singer-songwriter and harpist Joanna Newsom, noted for its intricate compositions and poetic lyrics.
-
B.
No One
"No One" is a Grammy-winning R&B ballad by American singer-songwriter Alicia Keys that became one of her signature hits worldwide.
-
C.
Ain’t Nobody
"Ain’t Nobody" is a 1983 R&B/funk song by Rufus and Chaka Khan, widely regarded as one of her signature hits and a classic of the genre.
-
D.
Drunk in Love
"Drunk in Love" is a sultry, trap-influenced R&B song by Beyoncé featuring Jay-Z that became one of her signature hits following its release in 2013.
-
E.
Bring Me Love
"Bring Me Love" is a festive R&B Christmas song by John Legend featured on his holiday album "A Legendary Christmas."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a49369a0848190af883934cee3db4c |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a73058e481908e067b7b7f9a91cd |
completed | March 1, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6787ccafc8190a8d31089f906404b |
completed | March 3, 2026, 5:58 a.m. |
Created at: March 1, 2026, 7:37 p.m.